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O/C mapper (object to cloud). Leverage Windows Azure without getting dragged down by low level technicalities. Key features * Queue Services as a scalable equivalent of Windows Services. * Scheduled Services as a cloud equivalent of the task scheduler. * Strong-typed blob I/O. * Scalable logs ... [More] and monitoring. * Inversion of Control on the cloud. * Web administration console for cloud services. [Less]

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  0 reviews  |  5 users  |  54,669 lines of code  |  2 current contributors  |  Analyzed 5 days ago
 
 

This project just create the kernel of a plugin-based web site. Everyone can extend it or use other's extensions by its rules. The responsibilities of the kernel are: 1. plugin management. (Definition, Version, Permission) 2. user/role/permission management. 3. storage and computation services. ... [More] (DB, Distributed File System, Parallel Computation) [Less]

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  0 reviews  |  0 users  |  0 current contributors
 
 

Hadoop is an Apache project for distributed parallel computing using the MapReduce computational framework. While Hadoop is written in Java, hadoop-sharp enables developers to use any CLR (.NET/Mono) supported programming language (C#, VB.NET, F#, IronPython, IronRuby) for their MapReduce ... [More] computations. The current version uses the Hadoop Pipes interface and is modeled after the Hadoop Pipes C++ API, passing around byte arrays. The idea is to evolve the API to use all the fancy features of the CLR such as generics, lambda functions etc. and eventually LINQ. (The current version is NOT ready for end-users. This Google Code project is a temporary home in order to facilitate rapid collaborative development before being submitted to the upstream Hadoop repository) [Less]

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  0 reviews  |  0 users  |  903 lines of code  |  0 current contributors  |  Analyzed 5 days ago
 
 
 
 

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